Collaborative Research: Integrating Students’ Interests, Identities and Ways of Knowing with Network Visualization Tools to Explore Data Literacy Concepts

协作研究：将学生的兴趣、身份和认知方式与网络可视化工具相结合，探索数据素养概念

• 批准号: 2241705
• 负责人: Joshua Danish
• 金额: $ 90.2万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241705&HistoricalAwards=false
• 关键词: Collaborative; Research; Integrating; Students; Interests

This project is responding to the growing recognition that youth can benefit from a wide range of data literacy skills. Network visualization is a particularly powerful and relevant approach for learners to understand. In a network visualization, people, places, and things are the nodes in a network, displayed as circles. These nodes are connected by lines that represent interactions. Learners can view relationships between nodes and lines in a network using either a dynamic visualization or they can view network data as a table. The two different representations together can help learners explore data in many contexts. This exploration is particularly relevant for data about relationships built on popular social media platforms. Therefore, network visualizations present a unique opportunity to explore data and data literacy in rich social contexts that are of interest for, and relevance to, youth learners. As they explore a range of locally relevant contexts across disciplines, learners will be engaged with core data literacy principles. To accomplish this, the project team will design, implement, and study an instructional unit about network visualization using the open-source Net.Create software tool that this team previously created to support intuitive, collaborative network visualization. As part of a co-design process with teachers, the team will create a curriculum unit that encourages 7th and 8th grade students to engage in core network visualization and key data literacy practices that meet disciplinary standards. The curriculum will integrate students’ interests and cultural identities, and those of their communities. For example, network visualizations that may be explored include hobbies and activities they are engaged in as well as aspects of their culture or identity. To help students appreciate network visualization in a robust manner, they will have opportunities to develop, critique, and revise the visualizations they build.This project will take a synergistic approach in which middle school students use network visualization to learn about themselves and their communities. As the same time, students will also be learning about the underlying network science and data literacy principles that make their exploration possible, and which are central to their experiences with many common technologies. The project addresses three research questions over this three-year study: 1) How can students learn network and data literacy concepts through the creation of network visualizations with their peers? 2) How does exploring their collective identity, through topics of interest to students both individually and as a whole, using network visualization help motivate them to explore data literacy and integrate technology more deeply into their lives and careers? 3) What challenges and opportunities do teachers see in using network visualizations to support teaching data literacy concepts? The project team will engage in iterative co-design with a partner school district to adapt the draft curriculum to be locally relevant and meaningful. The project will also extend the Net.Create tool to support more robust exploration of the data literacy concepts such as data provenance. Data analysis will include pre / post measures of data literacy concepts and criticality, analysis of networks created by learners and computer logs, application of an engagement rubric that measures quality of student engagement with different activities, and interaction analysis of classroom activities to help articulate how learners used the tools to develop understanding of target concepts. The project team will work closely with two teachers in year 1, three teachers in year 2, and five teachers in year 3, while also scaling up the implementation to see how up to 20 additional teachers are subsequently able to implement the curriculum. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

人们日益认识到，青年可以从广泛的数据素养技能中受益，因此该项目应运而生。对于学习者来说，网络可视化是一种特别强大和相关的理解方法。在网络可视化中，人、地点和事物是网络中的节点，以圆圈的形式显示。这些节点通过表示交互的线连接起来。学习者可以使用动态可视化来查看网络中节点和线之间的关系，也可以将网络数据视为表格。两种不同的表示结合在一起可以帮助学习者在许多情况下探索数据。这一探索与流行社交媒体平台上建立的关系数据尤其相关。因此，网络可视化提供了一个独特的机会，可以在丰富的社会背景下探索数据和数据素养，这是青年学习者感兴趣和相关的。当他们探索跨学科的一系列当地相关背景时，学习者将参与核心数据素养原则。为了实现这一目标，项目团队将设计、实现和研究一个使用开源网络的网络可视化教学单元。创建该团队之前创建的软件工具，以支持直观、协作的网络可视化。作为与教师共同设计过程的一部分，该团队将创建一个课程单元，鼓励七年级和八年级的学生参与核心网络可视化和符合学科标准的关键数据素养实践。课程将整合学生的兴趣和文化认同，以及他们所在社区的文化认同。例如，可以探索的网络可视化包括他们从事的爱好和活动以及他们的文化或身份的各个方面。为了帮助学生以稳健的方式欣赏网络可视化，他们将有机会发展，批评和修改他们建立的可视化。这个项目将采用一种协同的方法，中学生使用网络可视化来了解他们自己和他们的社区。与此同时，学生们还将学习网络科学和数据素养的基本原理，这些原理使他们的探索成为可能，也是他们体验许多常见技术的核心。在这个为期三年的研究中，该项目解决了三个研究问题：1)学生如何通过与同龄人一起创建网络可视化来学习网络和数据素养概念？2)通过学生个人和整体感兴趣的主题，利用网络可视化来探索他们的集体身份，如何有助于激励他们探索数据素养，并将技术更深入地融入他们的生活和职业？3)教师在使用网络可视化来支持数据素养概念教学方面看到了哪些挑战和机遇？项目团队将与合作学区进行反复的共同设计，以使课程草案与当地相关且有意义。该项目还将扩展网络。创建工具以支持对数据素养概念（如数据来源）进行更可靠的探索。数据分析将包括对数据素养概念和重要性的前后测量，对学习者和计算机日志创建的网络的分析，对学生参与不同活动质量的参与度指标的应用，以及课堂活动的互动分析，以帮助学习者清楚地表达如何使用这些工具来发展对目标概念的理解。项目团队将与一年级的两名教师、二年级的三名教师和三年级的五名教师密切合作，同时也将扩大实施规模，看看随后如何有多达20名教师能够实施该课程。该项目由“面向学生和教师的创新技术体验”（ITEST）项目资助，该项目支持有助于提高学生对科学、技术、工程和数学（STEM）以及信息和通信技术（ICT）职业的知识和兴趣的实践、项目要素、背景和过程的理解。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。